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Facial Landmark Detection
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Facial Landmark Detection is a computer vision task that involves detecting and localizing specific points or landmarks on a face, such as the eyes, nose, mouth, and chin. The goal is to accurately identify these landmarks in images or videos of faces in real-time and use them for various applications, such as face recognition, facial expression analysis, and head pose estimation.
<span style="color:grey; opacity: 0.6">( Image credit: Style Aggregated Network for Facial Landmark Detection )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Semantic Style Transfer for Enhancing Animal Facial Landmark Detection
ORFormer: Occlusion-Robust Transformer for Accurate Facial Landmark Detection
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach
KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation
Real-Time Drowsiness Detection Using Eye Aspect Ratio and Facial Landmark Detection
Efficient Facial Landmark Detection for Embedded Systems
3D WholeBody Pose Estimation based on Semantic Graph Attention Network and Distance Information
FaceLift: Semi-supervised 3D Facial Landmark Localization
Infinite 3D Landmarks: Improving Continuous 2D Facial Landmark Detection
Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge Distillation
FaceXFormer: A Unified Transformer for Facial Analysis
Fiducial Focus Augmentation for Facial Landmark Detection
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
3D-LFM: Lifting Foundation Model
Automated Detection of Cat Facial Landmarks
Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose
Lite-HRNet Plus: Fast and Accurate Facial Landmark Detection
Facial Landmark Detection Evaluation on MOBIO Database
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images
Precise Facial Landmark Detection by Reference Heatmap Transformer
LocalEyenet: Deep Attention framework for Localization of Eyes
Neonatal Face and Facial Landmark Detection from Video Recordings
MATT: Multimodal Attention Level Estimation for e-learning Platforms
Domain Translation via Latent Space Mapping
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
Shape Preserving Facial Landmarks with Graph Attention Networks
Towards Accurate Facial Landmark Detection via Cascaded Transformers
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
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